Bayesian & Probabilistic

Transformation of Markov Random Fields for Marginal Distribution Estimation CVPR 2015 Tree-Guided MCMC Inference for Normalized Random Measure Mixture Models NeurIPS 2015 Variational Consensus Monte Carlo NeurIPS 2015 Variational Dropout and the Local Reparameterization Trick NeurIPS 2015 Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning NeurIPS 2015 Vector-Space Markov Random Fields via Exponential Families ICML 2015 Video Anomaly Detection and Localization Using Hierarchical Feature Representation and Gaussian Process Regression CVPR 2015 Weight Uncertainty in Neural Network ICML 2015 A Bayesian model for identifying hierarchically organised states in neural population activity NeurIPS 2014 Accelerating ABC methods using Gaussian processes AISTATS 2014 A Compilation Target for Probabilistic Programming Languages ICML 2014 A Complete Variational Tracker NeurIPS 2014 Advances in Learning Bayesian Networks of Bounded Treewidth NeurIPS 2014 Aerial Reconstructions via Probabilistic Data Fusion CVPR 2014 A Filtering Approach to Stochastic Variational Inference NeurIPS 2014 A framework for studying synaptic plasticity with neural spike train data NeurIPS 2014 A Gaussian Latent Variable Model for Large Margin Classification of Labeled and Unlabeled Data AISTATS 2014 A Mixture of Manhattan Frames: Beyond the Manhattan World CVPR 2014 Analysis of Brain States from Multi-Region LFP Time-Series NeurIPS 2014 Analysis of Empirical MAP and Empirical Partially Bayes: Can They be Alternatives to Variational Bayes? AISTATS 2014 Analysis of Variational Bayesian Latent Dirichlet Allocation: Weaker Sparsity Than MAP NeurIPS 2014 Analytic Long-Term Forecasting with Periodic Gaussian Processes AISTATS 2014 An Integer Polynomial Programming Based Framework for Lifted MAP Inference NeurIPS 2014 Approximate Slice Sampling for Bayesian Posterior Inference AISTATS 2014 A Probabilistic Framework for Multimodal Retrieval using Integrative Indian Buffet Process NeurIPS 2014